# -*- coding: utf-8 -*-
from datetime import timedelta
from airflow.exceptions import AirflowSkipException
import pendulum
from ai_ageing_cusc_hi.dwd.dwd_warhouse.dwd_wide_rank_basic_scaninfo_tms_hi import jms_dwd__dwd_wide_rank_basic_scaninfo_tms_hi
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

cst = pendulum.timezone('Asia/Shanghai')
class aiWideSparkSqlOperator(SparkSqlOperator):

    def pre_execute(self, context):
        day = cst.convert(context['ti'].execution_date) + timedelta(hours=6)

        schedule_date = ['00']

        if day.strftime('%H') in schedule_date:
            print(f'{day.strftime("%H")} in {schedule_date}, should skip')
            super().pre_execute(context)
            raise AirflowSkipException()
        else:
            print(f'{day.strftime("%H")} not in {schedule_date}, run now')
            super().pre_execute(context)

jms_dwd__dwd_wide_unsign_summary_waybill_hi = aiWideSparkSqlOperator(
    task_id='jms_dwd__dwd_wide_unsign_summary_waybill_hi',
    task_concurrency=1,
    pool_slots=10,
    master='yarn',
    name='jms_dwd__dwd_wide_unsign_summary_waybill_hi_{{ execution_date | hour_add(1) | cst_ds }}',
    sql='ai_ageing_cusc_hi/dwd/dwd_warhouse/dwd_wide_unsign_summary_waybill_hi/execute.sql',
    driver_memory='15G',
    driver_cores=2,
    retries=1,
    email=['rongguangfan@jtexpress.com','yl_bigdata@yl-scm.com'],
    executor_cores=8,
    executor_memory='18G',
    num_executors=100,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.maxExecutors': 120,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 180,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead': '6G',  # 堆外内存
          'spark.sql.shuffle.partitions': 2800,
          'spark.default.paralleism': 3000,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          #'spark.sql.autoBroadcastJoinThreshold': 3221225472
          'spark.shuffle.service.enabled': 'false',
          'spark.dynamicAllocation.enabled': 'false',
          'spark.shuffle.consolidateFiles': 'true',
          #'spark.sql.parquet.compression.codec': 'gzip'
          'spark.shuffle.memoryFraction': '0.8',
          'spark.shuffle.file.buffer':'64k',
          'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=8 -XX:ConcGCThreads=2'
          },
    hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions': 1800,  # 每天生成 60 个分区
              'hive.exec.max.dynamic.partitions.pernode': 180,  # 每天生成 60 个分区
              },
    yarn_queue='pro',
    #execution_timeout=timedelta(hours=2)
    #excel平均时长:13分0秒
    execution_timeout = timedelta(minutes=90),
)

jms_dwd__dwd_wide_unsign_summary_waybill_hi << [
    jms_dwd__dwd_wide_rank_basic_scaninfo_tms_hi]
